Haizhou Liu

19 papers Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Semantic-Guided Unsupervised Video Summarization.
CoRR
Haizhou Liu, Haodong Jin, Yiming Wang, Hui Yu
2026 J jnl
Unlocking 2D/3D+T myocardial mechanics from cine MRI: a mechanically regularized space-time finite element correlation framework.
Medical Image Anal.
Haizhou Liu, Xueling Qin, Zhou Liu, Yuxi Jin, Heng Jiang, Yunlong Gao, Jidong Han, Yijia Zheng, Heng Sun, Lingtao Mao, François Hild, Hairong Zheng, Dong Liang, Na Zhang, Jiuping Liang, Dehong Luo, Zhanli Hu
2025 J jnl
Chebyshev spectral approximation-based physics-informed neural network for solving higher-order nonlinear differential equations.
Eng. Comput.
Yixin Huang, Haizhou Liu, Yang Zhao, Min Fei
2025 J jnl
FE-DIC-Based Motion and Intensity Correction for Enhanced CEST-MRI Registration.
IEEE J. Biomed. Health Informatics
Haizhou Liu, Yijia Zheng, Zhou Liu, Yuxi Jin, Zhihua Li, Jidong Han, Ziang Di, Hairong Zheng, Dong Liang, Yin Wu, Dehong Luo, Zhanli Hu
2025 J jnl
Joint task caching and privacy protecting task offloading for edge computing in industrial internet.
Computing
Yanping Chen, Hengyuan Zhang, Xiaomin Jin, Haizhou Liu, Zhongmin Wang
2025 J jnl
Robust service deployment for edge computing in industrial internet with joint profit awareness and multi-server collaboration.
J. Supercomput.
Yanping Chen, Feifan Ran, Xiaomin Jin, Haizhou Liu, Zhongmin Wang
2025 J jnl
SecureDec: A Decentralized Scheduling Pipeline With Federated Learning and Efficient Encryption for Electricity-Gas Coupled Systems.
IEEE Trans. Smart Grid
Haizhou Liu, Haitian Liu, Qinran Hu, Xuan Zhang, Hongbin Sun, Mohammad Shahidehpour
2024 J jnl
Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting.
IEEE Trans. Smart Grid
Haizhou Liu, Xuan Zhang, Hongbin Sun, Mohammad Shahidehpour
2023 J jnl
A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction.
IEEE Trans. Smart Grid
Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun, Mohammad Shahidehpour
2023 J jnl
DRdriver: identifying drug resistance driver genes using individual-specific gene regulatory network.
Briefings Bioinform.
Yu'e Huang, Shunheng Zhou, Haizhou Liu, Xu Zhou, Mengqin Yuan, Fei Hou, Sina Chen, Jiahao Chen, Lihong Wang, Wei Jiang
2022 J jnl
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction.
CoRR
Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun
2021 J jnl
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning.
CoRR
Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun
2020 J jnl
A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow.
CoRR
Haizhou Liu, Lun Yang, Xinwei Shen, Qinglai Guo, Hongbin Sun, Mohammad Shahidehpour
2020 J jnl
Stochastic Unit Commitment in Electricity-Gas Coupled Integrated Energy Systems based on Modified Progressive Hedging.
CoRR
Haizhou Liu, Xinwei Shen, Qinglai Guo, Hongbin Sun, Wenzhi Zhao, Xinyi Zhao
2019 J jnl
Identification of transcription factor-miRNA-lncRNA feed-forward loops in breast cancer subtypes.
Comput. Biol. Chem.
Leiming Jiang, Xuexin Yu, Xueyan Ma, Haizhou Liu, Shunheng Zhou, Xu Zhou, Qianqian Meng, Lihong Wang, Wei Jiang
2019 J jnl
Pathway enrichment analysis approach based on topological structure and updated annotation of pathway.
Briefings Bioinform.
Qian Yang, Shuyuan Wang, Enyu Dai, Shunheng Zhou, Dianming Liu, Haizhou Liu, Qianqian Meng, Bin Jiang, Wei Jiang
2011 J jnl
MiRPara: a SVM-based software tool for prediction of most probable microRNA coding regions in genome scale sequences.
BMC Bioinform.
Yonggan Wu, Bo Wei, Haizhou Liu, Tianxian Li, Simon Rayner
2010 — conf
Development of a pathway comparison tool for analysis of bacteria genomes.
BIBM Workshops
Haizhou Liu, Jun Wang, Chao Zhuang, Na Han, Bo Wei, Simon Rayner
2010 — conf
MiRPara: A SVM-based software for prediction of mature miRNAs.
BIBM Workshops
Yonggan Wu, Bo Wei, Haizhou Liu, Na Han, Simon Rayner